Intel Net Income/Loss 2010-2025 | INTC
Intel annual/quarterly net income/loss history and growth rate from 2010 to 2025. Net income/loss can be defined as the company's total income or loss before preferred stock dividends, taken from the Income Statement
- Intel net income/loss for the quarter ending March 31, 2025 was $-0.887B, a 102.97% increase year-over-year.
- Intel net income/loss for the twelve months ending March 31, 2025 was $-41.291B, a 3862.67% increase year-over-year.
- Intel annual net income/loss for 2024 was $-19.233B, a 1248.24% decline from 2023.
- Intel annual net income/loss for 2023 was $1.675B, a 79.11% decline from 2022.
- Intel annual net income/loss for 2022 was $8.017B, a 59.65% decline from 2021.
Intel Annual Net Income/Loss
(Millions of US $) |
| 2024 |
$-19,233 |
| 2023 |
$1,675 |
| 2022 |
$8,017 |
| 2021 |
$19,868 |
| 2020 |
$20,899 |
| 2019 |
$21,048 |
| 2018 |
$21,053 |
| 2017 |
$9,601 |
| 2016 |
$10,316 |
| 2015 |
$11,420 |
| 2014 |
$11,704 |
| 2013 |
$9,620 |
| 2012 |
$11,005 |
| 2011 |
$12,942 |
| 2010 |
$11,464 |
| 2009 |
$4,369 |
| Sector |
Industry |
Market Cap |
Revenue |
| Computer and Technology |
Semiconductor - General |
$98.101B |
$53.101B |
|
Intel Corporation, one of the world's largest semiconductor company and primary supplier of microprocessors and chipsets, is gradually moving into data-centric businesses such as AI and autonomous driving. Intel is a dominant player for microprocessors in both consumer and enterprise markets. Data Center Group, Internet of Things Group, Mobileye, Non-Volatile memory solutions group and Programmable solutions Group and All Other business units form the crux of Intel's data-centric business model. DCG segment deals with servers, workstations and other products for cloud, enterprise, and communication infrastructure market. IOTG offers high-performance compute solutions and embedded applications. PSG segment offers programmable semiconductors, primarily FPGAs and structured ASICs. Mobileye is engaged in developing computer vision and machine learning-based sensing, data analysis, localization, mapping, and driving policy technology for ADAS and autonomous driving.
|
